{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-18T14:31:29.970294Z",
     "start_time": "2020-12-18T14:31:29.601888Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "data1 = pd.read_csv('after_process_tmdb_5000_movies.csv')\n",
    "data2 = pd.read_csv('after_process_tmdb_5000_credits.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-18T14:32:47.987720Z",
     "start_time": "2020-12-18T14:32:47.521608Z"
    }
   },
   "outputs": [],
   "source": [
    "data1['genres'] = data1['genres'].map(eval)\n",
    "data1['keywords'] = data1['keywords'].map(eval)\n",
    "data1['production_companies'] = data1['production_companies'].map(eval)\n",
    "data1['production_countries'] = data1['production_countries'].map(eval)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# what\n",
    "\n",
    "## 电影类型：定义一个集合，获取所有的电影类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T06:54:46.307307Z",
     "start_time": "2020-12-19T06:54:46.302052Z"
    }
   },
   "outputs": [],
   "source": [
    "genres_set = []\n",
    "for item in data1['genres'].tolist():\n",
    "    for i in item:\n",
    "        genres_set.append(i['name'])\n",
    "genres_set = set(genres_set)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 电影类型数量\n",
    "- 计算每个电影类型的数量\n",
    "- 绘制条形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T06:54:21.743234Z",
     "start_time": "2020-12-19T06:54:21.735128Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Action': 1129,\n",
       " 'Adventure': 778,\n",
       " 'Fantasy': 422,\n",
       " 'Science Fiction': 524,\n",
       " 'Crime': 673,\n",
       " 'Drama': 2168,\n",
       " 'Thriller': 1230,\n",
       " 'Animation': 226,\n",
       " 'Family': 491,\n",
       " 'Western': 76,\n",
       " 'Comedy': 1645,\n",
       " 'Romance': 851,\n",
       " 'Horror': 500,\n",
       " 'Mystery': 337,\n",
       " 'History': 190,\n",
       " 'War': 140,\n",
       " 'Music': 173,\n",
       " 'Documentary': 81,\n",
       " 'Foreign': 25,\n",
       " 'TV Movie': 7}"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genres_count = {}\n",
    "for item in data1['genres'].tolist():\n",
    "    for i in item:\n",
    "        key = i['name']\n",
    "        if key in genres_count:\n",
    "            genres_count[key] += 1\n",
    "        else:\n",
    "            genres_count[key] = 1\n",
    "genres_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T07:36:55.266949Z",
     "start_time": "2020-12-19T07:36:55.108261Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 108 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 112 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib as mpl\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "zhfont = mpl.font_manager.FontProperties(fname='/usr/share/fonts/truetype/droid/DroidSansFallbackFull.ttf')\n",
    "plt.rcParams['axes.unicode_minus']=False\n",
    "x,y = [], []\n",
    "for x_,y_ in genres_count.items():\n",
    "    x.append(x_)\n",
    "    y.append(y_)\n",
    "\n",
    "plt.barh(x,y,color=['r','g','b', 'c', 'm', 'y'])\n",
    "plt.title('电影类型数量图',fontproperties=zhfont)\n",
    "plt.ylabel('电影类型',fontproperties=zhfont)\n",
    "plt.xlabel('电影数量',fontproperties=zhfont)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T06:58:41.112942Z",
     "start_time": "2020-12-19T06:58:41.109652Z"
    }
   },
   "source": [
    "## 电影类型占比\n",
    "- 计算各类电影的占比\n",
    "- 绘制饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T07:59:31.544138Z",
     "start_time": "2020-12-19T07:59:31.540057Z"
    }
   },
   "outputs": [],
   "source": [
    "genres_total = sum(genres_count.values())\n",
    "genres_pect = map(lambda x:(x[0],x[1]/genres_total),genres_count.items())\n",
    "genres_pect = dict(genres_pect)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T08:24:45.956754Z",
     "start_time": "2020-12-19T08:24:45.787916Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '电影类型占比图')"
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 108 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 112 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(y,explode=list(map(lambda x:(1-x)/8,genres_pect.values())),labels=genres_pect.keys(),pctdistance= 0.8,autopct='%1.1f%%')\n",
    "plt.title('电影类型占比图',fontproperties=zhfont)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T08:09:40.142482Z",
     "start_time": "2020-12-19T08:09:40.139176Z"
    }
   },
   "source": [
    "## 电影类型变化趋势"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T08:26:32.731250Z",
     "start_time": "2020-12-19T08:26:32.716045Z"
    }
   },
   "outputs": [],
   "source": [
    "data1['release_date'] = pd.to_datetime(data1['release_date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T08:26:46.262530Z",
     "start_time": "2020-12-19T08:26:46.244308Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-195-03853ccc69d5>:1: FutureWarning: Treating datetime data as categorical rather than numeric in `.describe` is deprecated and will be removed in a future version of pandas. Specify `datetime_is_numeric=True` to silence this warning and adopt the future behavior now.\n",
      "  data1['release_date'].describe()\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "count                    4530\n",
       "unique                   3157\n",
       "top       2006-01-01 00:00:00\n",
       "freq                        8\n",
       "first     1916-09-04 00:00:00\n",
       "last      2017-02-03 00:00:00\n",
       "Name: release_date, dtype: object"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1['release_date'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T08:55:14.848842Z",
     "start_time": "2020-12-19T08:55:14.844523Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      2009-12-10\n",
       "1      2007-05-19\n",
       "2      2015-10-26\n",
       "3      2012-07-16\n",
       "4      2012-03-07\n",
       "          ...    \n",
       "4525   2004-10-08\n",
       "4526   1992-09-04\n",
       "4527   2013-10-13\n",
       "4528   2012-05-03\n",
       "4529   2005-08-05\n",
       "Name: release_date, Length: 4530, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1['release_date']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T09:19:34.053407Z",
     "start_time": "2020-12-19T09:19:34.037088Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>release_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1916</th>\n",
       "      <td>385907</td>\n",
       "      <td>3059</td>\n",
       "      <td>3.232447</td>\n",
       "      <td>8394751</td>\n",
       "      <td>197.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1925</th>\n",
       "      <td>245000</td>\n",
       "      <td>3060</td>\n",
       "      <td>0.785744</td>\n",
       "      <td>22000000</td>\n",
       "      <td>151.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1927</th>\n",
       "      <td>92620000</td>\n",
       "      <td>19</td>\n",
       "      <td>32.351527</td>\n",
       "      <td>650422</td>\n",
       "      <td>153.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1929</th>\n",
       "      <td>379000</td>\n",
       "      <td>66108</td>\n",
       "      <td>2.793049</td>\n",
       "      <td>4358000</td>\n",
       "      <td>209.0</td>\n",
       "      <td>12.6</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930</th>\n",
       "      <td>3950000</td>\n",
       "      <td>22301</td>\n",
       "      <td>8.484123</td>\n",
       "      <td>8000000</td>\n",
       "      <td>127.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>8203633584</td>\n",
       "      <td>29449380</td>\n",
       "      <td>6495.150298</td>\n",
       "      <td>23411493295</td>\n",
       "      <td>23023.0</td>\n",
       "      <td>1337.6</td>\n",
       "      <td>262371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>7361653011</td>\n",
       "      <td>42400667</td>\n",
       "      <td>8905.492689</td>\n",
       "      <td>24120490589</td>\n",
       "      <td>21556.0</td>\n",
       "      <td>1225.7</td>\n",
       "      <td>248938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>6716700003</td>\n",
       "      <td>47728521</td>\n",
       "      <td>8038.461335</td>\n",
       "      <td>22775020891</td>\n",
       "      <td>19257.0</td>\n",
       "      <td>1087.1</td>\n",
       "      <td>210323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>4753140000</td>\n",
       "      <td>29276898</td>\n",
       "      <td>3860.267699</td>\n",
       "      <td>14461156948</td>\n",
       "      <td>10704.0</td>\n",
       "      <td>590.0</td>\n",
       "      <td>119218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>0</td>\n",
       "      <td>426469</td>\n",
       "      <td>0.710870</td>\n",
       "      <td>0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>90 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  budget        id   popularity      revenue  runtime  \\\n",
       "release_date                                                            \n",
       "1916              385907      3059     3.232447      8394751    197.0   \n",
       "1925              245000      3060     0.785744     22000000    151.0   \n",
       "1927            92620000        19    32.351527       650422    153.0   \n",
       "1929              379000     66108     2.793049      4358000    209.0   \n",
       "1930             3950000     22301     8.484123      8000000    127.0   \n",
       "...                  ...       ...          ...          ...      ...   \n",
       "2013          8203633584  29449380  6495.150298  23411493295  23023.0   \n",
       "2014          7361653011  42400667  8905.492689  24120490589  21556.0   \n",
       "2015          6716700003  47728521  8038.461335  22775020891  19257.0   \n",
       "2016          4753140000  29276898  3860.267699  14461156948  10704.0   \n",
       "2017                   0    426469     0.710870            0    102.0   \n",
       "\n",
       "              vote_average  vote_count  \n",
       "release_date                            \n",
       "1916                   7.4          60  \n",
       "1925                   7.0          21  \n",
       "1927                   8.0         657  \n",
       "1929                  12.6          64  \n",
       "1930                   6.1          19  \n",
       "...                    ...         ...  \n",
       "2013                1337.6      262371  \n",
       "2014                1225.7      248938  \n",
       "2015                1087.1      210323  \n",
       "2016                 590.0      119218  \n",
       "2017                   7.4           7  \n",
       "\n",
       "[90 rows x 7 columns]"
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1.groupby(data1['release_date'].dt.year).agg('mean')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T10:12:16.926014Z",
     "start_time": "2020-12-19T10:12:16.907856Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>production_countries</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>release_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1916</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1925</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1927</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1929</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "      <td>100</td>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "      <td>175</td>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "      <td>215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>201</td>\n",
       "      <td>201</td>\n",
       "      <td>72</td>\n",
       "      <td>201</td>\n",
       "      <td>201</td>\n",
       "      <td>201</td>\n",
       "      <td>201</td>\n",
       "      <td>200</td>\n",
       "      <td>201</td>\n",
       "      <td>201</td>\n",
       "      <td>201</td>\n",
       "      <td>201</td>\n",
       "      <td>201</td>\n",
       "      <td>201</td>\n",
       "      <td>201</td>\n",
       "      <td>201</td>\n",
       "      <td>162</td>\n",
       "      <td>201</td>\n",
       "      <td>201</td>\n",
       "      <td>201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>98</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>180</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>154</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>72</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>83</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>90 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              budget  genres  homepage   id  keywords  original_language  \\\n",
       "release_date                                                               \n",
       "1916               1       1         0    1         1                  1   \n",
       "1925               1       1         0    1         1                  1   \n",
       "1927               1       1         0    1         1                  1   \n",
       "1929               2       2         0    2         2                  2   \n",
       "1930               1       1         0    1         1                  1   \n",
       "...              ...     ...       ...  ...       ...                ...   \n",
       "2013             215     215       100  215       215                215   \n",
       "2014             201     201        72  201       201                201   \n",
       "2015             181     181        98  181       181                181   \n",
       "2016              99      99        72   99        99                 99   \n",
       "2017               1       1         1    1         1                  1   \n",
       "\n",
       "              original_title  overview  popularity  production_companies  \\\n",
       "release_date                                                               \n",
       "1916                       1         1           1                     1   \n",
       "1925                       1         1           1                     1   \n",
       "1927                       1         1           1                     1   \n",
       "1929                       2         2           2                     2   \n",
       "1930                       1         1           1                     1   \n",
       "...                      ...       ...         ...                   ...   \n",
       "2013                     215       215         215                   215   \n",
       "2014                     201       200         201                   201   \n",
       "2015                     181       180         181                   181   \n",
       "2016                      99        99          99                    99   \n",
       "2017                       1         1           1                     1   \n",
       "\n",
       "              production_countries  release_date  revenue  runtime  \\\n",
       "release_date                                                         \n",
       "1916                             1             1        1        1   \n",
       "1925                             1             1        1        1   \n",
       "1927                             1             1        1        1   \n",
       "1929                             2             2        2        2   \n",
       "1930                             1             1        1        1   \n",
       "...                            ...           ...      ...      ...   \n",
       "2013                           215           215      215      215   \n",
       "2014                           201           201      201      201   \n",
       "2015                           181           181      181      181   \n",
       "2016                            99            99       99       99   \n",
       "2017                             1             1        1        1   \n",
       "\n",
       "              spoken_languages  status  tagline  title  vote_average  \\\n",
       "release_date                                                           \n",
       "1916                         1       1        1      1             1   \n",
       "1925                         1       1        0      1             1   \n",
       "1927                         1       1        1      1             1   \n",
       "1929                         2       2        1      2             2   \n",
       "1930                         1       1        1      1             1   \n",
       "...                        ...     ...      ...    ...           ...   \n",
       "2013                       215     215      175    215           215   \n",
       "2014                       201     201      162    201           201   \n",
       "2015                       181     181      154    181           181   \n",
       "2016                        99      99       83     99            99   \n",
       "2017                         1       1        1      1             1   \n",
       "\n",
       "              vote_count  \n",
       "release_date              \n",
       "1916                   1  \n",
       "1925                   1  \n",
       "1927                   1  \n",
       "1929                   2  \n",
       "1930                   1  \n",
       "...                  ...  \n",
       "2013                 215  \n",
       "2014                 201  \n",
       "2015                 181  \n",
       "2016                  99  \n",
       "2017                   1  \n",
       "\n",
       "[90 rows x 20 columns]"
      ]
     },
     "execution_count": 291,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1.groupby(data1['release_date'].dt.year).agg('count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T09:48:25.256196Z",
     "start_time": "2020-12-19T09:48:25.243115Z"
    }
   },
   "outputs": [],
   "source": [
    "def genres_c(data1):\n",
    "    genres_count = {}\n",
    "    for item in data1['genres'].tolist():\n",
    "        for i in item:\n",
    "            key = i['name']\n",
    "            if key in genres_count:\n",
    "                genres_count[key] += 1\n",
    "            else:\n",
    "                genres_count[key] = 1\n",
    "    return genres_count\n",
    "genres_data = data1.groupby(data1['release_date'].dt.year).apply(genres_c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T09:48:25.693940Z",
     "start_time": "2020-12-19T09:48:25.690008Z"
    }
   },
   "outputs": [],
   "source": [
    "def genres_table_c(dic):\n",
    "    result_dic = {}\n",
    "    for genre in genres_set:\n",
    "        if genre in dic:\n",
    "            result_dic[genre] = dic[genre]\n",
    "        else:\n",
    "            result_dic[genre] = 0\n",
    "    return result_dic\n",
    "table = genres_data.map(genres_table_c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T09:48:30.909259Z",
     "start_time": "2020-12-19T09:48:30.906146Z"
    }
   },
   "outputs": [],
   "source": [
    "genres_data = genres_data.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T09:48:34.591325Z",
     "start_time": "2020-12-19T09:48:34.578922Z"
    }
   },
   "outputs": [],
   "source": [
    "for genre in genres_set:\n",
    "    series = []\n",
    "    for item in table:\n",
    "        series.append(item[genre])\n",
    "    genres_data[genre] = pd.Series(series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T10:12:27.962291Z",
     "start_time": "2020-12-19T10:12:27.715528Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fe7122cefd0>"
      ]
     },
     "execution_count": 292,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 108 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 112 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "a =  genres_data.plot(x='release_date',legend=False,use_index=True)\n",
    "plt.ylabel('数量',fontproperties=zhfont)\n",
    "plt.xlabel('时间',fontproperties=zhfont)\n",
    "plt.title('电影类型变化趋势',fontproperties=zhfont)\n",
    "plt.legend(ncol=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 不同电影类型预算/利润"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T12:11:18.521255Z",
     "start_time": "2020-12-19T12:11:18.515166Z"
    }
   },
   "outputs": [],
   "source": [
    "data1['genres_list'] = data1['genres'].map(lambda x:[i['name'] for i in x])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T12:26:52.634051Z",
     "start_time": "2020-12-19T12:26:52.586820Z"
    }
   },
   "outputs": [],
   "source": [
    "for genre in genres_set:\n",
    "    series = []\n",
    "    for item in data1['genres_list']:\n",
    "        if genre in item:\n",
    "            series.append(1)\n",
    "        else:\n",
    "            series.append(0)\n",
    "    data1[genre] = pd.Series(series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T12:42:03.490570Z",
     "start_time": "2020-12-19T12:42:03.234411Z"
    },
    "run_control": {
     "marked": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Western': [2219453601, 3792169111],\n",
       " 'Fantasy': [26930696595, 81980079931],\n",
       " 'Mystery': [10684081450, 27247430991],\n",
       " 'Science Fiction': [27747394865, 81564235745],\n",
       " 'Horror': [7563871978, 22599894663],\n",
       " 'History': [5843782931, 11326941732],\n",
       " 'Romance': [18140476492, 53624240456],\n",
       " 'Action': [59407406599, 162957344515],\n",
       " 'Documentary': [279333263, 1071839614],\n",
       " 'Adventure': [52350220463, 164838551987],\n",
       " 'Family': [25941309625, 83276742116],\n",
       " 'Crime': [19351365974, 46027622442],\n",
       " 'War': [5033473879, 12113245911],\n",
       " 'Drama': [47351176453, 119659844827],\n",
       " 'Comedy': [43500169555, 122670452442],\n",
       " 'Foreign': [15375007, 11298151],\n",
       " 'Animation': [15497021056, 52808497865],\n",
       " 'Music': [2910886585, 8955339084],\n",
       " 'TV Movie': [9200000, 0],\n",
       " 'Thriller': [40708195424, 103246541691]}"
      ]
     },
     "execution_count": 342,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genre_budget_revenue = {i:[0,0] for i in genres_set}\n",
    "def cal_budget_revenue(item):\n",
    "    for genre in genres_set:\n",
    "        if item[genre] == 1:\n",
    "            genre_budget_revenue[genre][0] += item['budget'] \n",
    "            genre_budget_revenue[genre][1] += item['revenue'] \n",
    "data1.apply(cal_budget_revenue,axis=1)\n",
    "genre_budget_revenue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 436,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T13:37:56.843139Z",
     "start_time": "2020-12-19T13:37:56.576320Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 108 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 112 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = []\n",
    "y1 = []\n",
    "y2 = []\n",
    "for x_,y_ in genre_budget_revenue.items():\n",
    "    x.append(x_)\n",
    "    y1.append(y_[0])\n",
    "    y2.append(y_[1])\n",
    "plt.barh(x,y1)\n",
    "plt.barh(x,y2,left=y1)\n",
    "for a,b,label in zip([max(i[0]+ i[1],11866225669) for i in zip(y1,y2)],range(len(x)), ['1.0' if i[1] == 0 else \"{:.2f}\".format(i[0]/(i[1]+0.01)) for i in zip(y1,y2)]):\n",
    "    plt.text(a, b, label, ha='left', va='center')\n",
    "plt.legend([u'预算',u'票房'],prop=zhfont)\n",
    "plt.xlabel('金额数量',fontproperties=zhfont)\n",
    "plt.ylabel('电影类型',fontproperties=zhfont)\n",
    "plt.title('预算票房比例图',fontproperties=zhfont)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 词云图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 443,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T14:08:32.358783Z",
     "start_time": "2020-12-19T14:08:32.350961Z"
    }
   },
   "outputs": [],
   "source": [
    "keywords_set = []\n",
    "for item in data1['keywords'].tolist():\n",
    "    for i in item:\n",
    "        keywords_set.append(i['name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 446,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T14:13:29.466202Z",
     "start_time": "2020-12-19T14:13:28.896518Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 108 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 112 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from wordcloud import WordCloud\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "mytext = ' '.join(keywords_set)\n",
    "wordcloud = WordCloud().generate(mytext)\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")\n",
    "plt.title('关键词词云图',fontproperties=zhfont)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 电影时长"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 461,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T14:35:58.885807Z",
     "start_time": "2020-12-19T14:35:58.758716Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 108 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 112 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1['runtime'].hist(bins=30)\n",
    "plt.title('电影时长频数直方图',fontproperties=zhfont)\n",
    "plt.xlabel('电影时长',fontproperties=zhfont)\n",
    "plt.ylabel('频数',fontproperties=zhfont)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 发行时间"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 466,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T14:39:04.901841Z",
     "start_time": "2020-12-19T14:39:04.879487Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
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       "      <th>original_language</th>\n",
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       "      <th>popularity</th>\n",
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       "      <th>Foreign</th>\n",
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       "      <th>Music</th>\n",
       "      <th>TV Movie</th>\n",
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       "    <tr>\n",
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       "      <th>release_date</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th>1916</th>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1925</th>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1927</th>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1929</th>\n",
       "      <th>1</th>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">2016</th>\n",
       "      <th>7</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>...</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
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       "      <td>4</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
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       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>598 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           budget  genres  homepage  id  keywords  \\\n",
       "release_date release_date                                           \n",
       "1916         9                  1       1         0   1         1   \n",
       "1925         11                 1       1         0   1         1   \n",
       "1927         1                  1       1         0   1         1   \n",
       "1929         1                  1       1         0   1         1   \n",
       "             2                  1       1         0   1         1   \n",
       "...                           ...     ...       ...  ..       ...   \n",
       "2016         7                 15      15        12  15        15   \n",
       "             8                  4       4         3   4         4   \n",
       "             9                  4       4         2   4         4   \n",
       "             10                 1       1         0   1         1   \n",
       "2017         2                  1       1         1   1         1   \n",
       "\n",
       "                           original_language  original_title  overview  \\\n",
       "release_date release_date                                                \n",
       "1916         9                             1               1         1   \n",
       "1925         11                            1               1         1   \n",
       "1927         1                             1               1         1   \n",
       "1929         1                             1               1         1   \n",
       "             2                             1               1         1   \n",
       "...                                      ...             ...       ...   \n",
       "2016         7                            15              15        15   \n",
       "             8                             4               4         4   \n",
       "             9                             4               4         4   \n",
       "             10                            1               1         1   \n",
       "2017         2                             1               1         1   \n",
       "\n",
       "                           popularity  production_companies  ...  Family  \\\n",
       "release_date release_date                                    ...           \n",
       "1916         9                      1                     1  ...       1   \n",
       "1925         11                     1                     1  ...       1   \n",
       "1927         1                      1                     1  ...       1   \n",
       "1929         1                      1                     1  ...       1   \n",
       "             2                      1                     1  ...       1   \n",
       "...                               ...                   ...  ...     ...   \n",
       "2016         7                     15                    15  ...      15   \n",
       "             8                      4                     4  ...       4   \n",
       "             9                      4                     4  ...       4   \n",
       "             10                     1                     1  ...       1   \n",
       "2017         2                      1                     1  ...       1   \n",
       "\n",
       "                           Crime  War  Drama  Comedy  Foreign  Animation  \\\n",
       "release_date release_date                                                  \n",
       "1916         9                 1    1      1       1        1          1   \n",
       "1925         11                1    1      1       1        1          1   \n",
       "1927         1                 1    1      1       1        1          1   \n",
       "1929         1                 1    1      1       1        1          1   \n",
       "             2                 1    1      1       1        1          1   \n",
       "...                          ...  ...    ...     ...      ...        ...   \n",
       "2016         7                15   15     15      15       15         15   \n",
       "             8                 4    4      4       4        4          4   \n",
       "             9                 4    4      4       4        4          4   \n",
       "             10                1    1      1       1        1          1   \n",
       "2017         2                 1    1      1       1        1          1   \n",
       "\n",
       "                           Music  TV Movie  Thriller  \n",
       "release_date release_date                             \n",
       "1916         9                 1         1         1  \n",
       "1925         11                1         1         1  \n",
       "1927         1                 1         1         1  \n",
       "1929         1                 1         1         1  \n",
       "             2                 1         1         1  \n",
       "...                          ...       ...       ...  \n",
       "2016         7                15        15        15  \n",
       "             8                 4         4         4  \n",
       "             9                 4         4         4  \n",
       "             10                1         1         1  \n",
       "2017         2                 1         1         1  \n",
       "\n",
       "[598 rows x 41 columns]"
      ]
     },
     "execution_count": 466,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1.groupby([data1['release_date'].dt.year,data1['release_date'].dt.month]).agg('count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 465,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T14:38:35.085169Z",
     "start_time": "2020-12-19T14:38:35.053116Z"
    }
   },
   "outputs": [
    {
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       "      <td>8.394751e+06</td>\n",
       "      <td>197.00</td>\n",
       "      <td>7.400000</td>\n",
       "      <td>60.00</td>\n",
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       "      <td>1.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <th>1927</th>\n",
       "      <th>1</th>\n",
       "      <td>92620000.0</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>32.351527</td>\n",
       "      <td>6.504220e+05</td>\n",
       "      <td>153.00</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>657.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1929</th>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>905.000000</td>\n",
       "      <td>1.824184</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>109.00</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>45.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>379000.0</td>\n",
       "      <td>65203.000000</td>\n",
       "      <td>0.968865</td>\n",
       "      <td>4.358000e+06</td>\n",
       "      <td>100.00</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>19.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">2016</th>\n",
       "      <th>7</th>\n",
       "      <td>40260000.0</td>\n",
       "      <td>306627.333333</td>\n",
       "      <td>31.835071</td>\n",
       "      <td>1.022029e+08</td>\n",
       "      <td>103.80</td>\n",
       "      <td>5.813333</td>\n",
       "      <td>992.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.466667</td>\n",
       "      <td>0.266667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.266667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>90000000.0</td>\n",
       "      <td>262085.750000</td>\n",
       "      <td>39.816198</td>\n",
       "      <td>2.456892e+08</td>\n",
       "      <td>113.75</td>\n",
       "      <td>5.875000</td>\n",
       "      <td>2216.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>12875000.0</td>\n",
       "      <td>357972.500000</td>\n",
       "      <td>6.105871</td>\n",
       "      <td>3.965392e+06</td>\n",
       "      <td>99.50</td>\n",
       "      <td>6.450000</td>\n",
       "      <td>91.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.0</td>\n",
       "      <td>325373.000000</td>\n",
       "      <td>3.139294</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>96.00</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>27.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>426469.000000</td>\n",
       "      <td>0.710870</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>102.00</td>\n",
       "      <td>7.400000</td>\n",
       "      <td>7.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>598 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               budget             id  popularity  \\\n",
       "release_date release_date                                          \n",
       "1916         9               385907.0    3059.000000    3.232447   \n",
       "1925         11              245000.0    3060.000000    0.785744   \n",
       "1927         1             92620000.0      19.000000   32.351527   \n",
       "1929         1                    0.0     905.000000    1.824184   \n",
       "             2               379000.0   65203.000000    0.968865   \n",
       "...                               ...            ...         ...   \n",
       "2016         7             40260000.0  306627.333333   31.835071   \n",
       "             8             90000000.0  262085.750000   39.816198   \n",
       "             9             12875000.0  357972.500000    6.105871   \n",
       "             10                   0.0  325373.000000    3.139294   \n",
       "2017         2                    0.0  426469.000000    0.710870   \n",
       "\n",
       "                                revenue  runtime  vote_average  vote_count  \\\n",
       "release_date release_date                                                    \n",
       "1916         9             8.394751e+06   197.00      7.400000       60.00   \n",
       "1925         11            2.200000e+07   151.00      7.000000       21.00   \n",
       "1927         1             6.504220e+05   153.00      8.000000      657.00   \n",
       "1929         1             0.000000e+00   109.00      7.600000       45.00   \n",
       "             2             4.358000e+06   100.00      5.000000       19.00   \n",
       "...                                 ...      ...           ...         ...   \n",
       "2016         7             1.022029e+08   103.80      5.813333      992.00   \n",
       "             8             2.456892e+08   113.75      5.875000     2216.75   \n",
       "             9             3.965392e+06    99.50      6.450000       91.25   \n",
       "             10            0.000000e+00    96.00      6.800000       27.00   \n",
       "2017         2             0.000000e+00   102.00      7.400000        7.00   \n",
       "\n",
       "                           Western  Fantasy   Mystery  ...  Family     Crime  \\\n",
       "release_date release_date                              ...                     \n",
       "1916         9                 0.0      0.0  0.000000  ...    0.00  0.000000   \n",
       "1925         11                0.0      0.0  0.000000  ...    0.00  0.000000   \n",
       "1927         1                 0.0      0.0  0.000000  ...    0.00  0.000000   \n",
       "1929         1                 0.0      0.0  0.000000  ...    0.00  0.000000   \n",
       "             2                 0.0      0.0  0.000000  ...    0.00  0.000000   \n",
       "...                            ...      ...       ...  ...     ...       ...   \n",
       "2016         7                 0.0      0.2  0.066667  ...    0.00  0.133333   \n",
       "             8                 0.0      0.5  0.000000  ...    0.25  0.250000   \n",
       "             9                 0.0      0.0  0.000000  ...    0.00  0.000000   \n",
       "             10                0.0      0.0  0.000000  ...    0.00  0.000000   \n",
       "2017         2                 0.0      0.0  0.000000  ...    1.00  0.000000   \n",
       "\n",
       "                                War     Drama    Comedy  Foreign  Animation  \\\n",
       "release_date release_date                                                     \n",
       "1916         9             0.000000  1.000000  0.000000      0.0   0.000000   \n",
       "1925         11            1.000000  1.000000  0.000000      0.0   0.000000   \n",
       "1927         1             0.000000  1.000000  0.000000      0.0   0.000000   \n",
       "1929         1             0.000000  1.000000  0.000000      0.0   0.000000   \n",
       "             2             0.000000  1.000000  0.000000      0.0   0.000000   \n",
       "...                             ...       ...       ...      ...        ...   \n",
       "2016         7             0.066667  0.466667  0.266667      0.0   0.066667   \n",
       "             8             0.000000  0.500000  0.000000      0.0   0.000000   \n",
       "             9             0.000000  0.500000  0.000000      0.0   0.000000   \n",
       "             10            0.000000  1.000000  0.000000      0.0   0.000000   \n",
       "2017         2             0.000000  1.000000  1.000000      0.0   0.000000   \n",
       "\n",
       "                           Music  TV Movie  Thriller  \n",
       "release_date release_date                             \n",
       "1916         9               0.0       0.0  0.000000  \n",
       "1925         11              0.0       0.0  0.000000  \n",
       "1927         1               0.0       0.0  0.000000  \n",
       "1929         1               0.0       0.0  1.000000  \n",
       "             2               1.0       0.0  0.000000  \n",
       "...                          ...       ...       ...  \n",
       "2016         7               0.0       0.0  0.266667  \n",
       "             8               0.0       0.0  0.000000  \n",
       "             9               0.0       0.0  0.000000  \n",
       "             10              0.0       0.0  0.000000  \n",
       "2017         2               0.0       0.0  0.000000  \n",
       "\n",
       "[598 rows x 27 columns]"
      ]
     },
     "execution_count": 465,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1.groupby([data1['release_date'].dt.year,data1['release_date'].dt.month]).agg('mean')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 482,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T14:44:31.571566Z",
     "start_time": "2020-12-19T14:44:31.446911Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 108 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 112 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfAAAAEXCAYAAABS7RbcAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAAe2klEQVR4nO3de7gddX3v8ffHcLWoKImKJDHIQStapLKLaKlGQQ1gpVZtAY94wxyqYlu1Qq0V2+oj1nq8AWKKgCJCS6WCEsVqD+IFKolFLiIakYYUkSAVFW0x8D1/zGxYLNZOdnRPVmbn/Xqe/ew1M7818107O/szv9/cUlVIkqR+ud+4C5AkSRvPAJckqYcMcEmSesgAlySphwxwSZJ6yACXJKmHDHCpA0kemOSBM7zOHTawfLcknf+fTjKn622M2Oa8JE/Y1NuVNmfxOnBp5iU5AfgJcMGIxV8BtgXWAtcOLdsFOKyqLmrXszOwT1Wdl+QrwFOBFwHzqurdA9t7OHAesBh4PfB7Q+s9qKpuHqrx0qrad0Tt2wFrgMvbWQuAV1fV55M8GXhDVT2/3eY/tW0WAj8Efg7sPvC5jquqLwytfz/gd6rqHSO2vQPwyao6IMmfAK8E5rTrvQh4fVXdlWQn4ISqOqx939OAg4B5wJuq6qYki4CvA9fR/Lx/Adw1sLnH0Pwc/3u4DqkPthp3AdJsk2Rf4DeBTwH7jWhySft9ZVUtHnrv8UNtXwV8PckDgDuq6s4kZwDvTvKIqroxyVzgfOCNVfVz4G3t16javg7c0U4+Lsml7eutgedX1fXt9P245+/DnPa9TwfeDzwLoA3JU4E92jbfBn4EPAS4FLhhMryTfAz4deDusExycPtyq6raN8nvA3/Q1vUhmtB+7fAOQOvlwKeTHFBVnwfWtfWeSfOz/0zb7nNVdWiSs9r5NwFXV9Wrk1w06mck9YUBLs2gNkw/BnwBeMGIJi9oQ3hr4IkDATppAfDZgemn0fSm3wE8NMnlA8v2BZ4CPAx4C7AwySFVdd56Srxjstc92ANPcjqwXdvmLmAFTdjd1X5fQBOu+wN7JLm5qu4Efh/4O+BBwOeB1TQ9248B7wHeN7Dt09t1DXtD+30FzajFbsBpwKHAncON21GJ5wFvB16eZE/ghe37/hdwMfcEOEn+mmaE4CTgN9rtSL3XuwBv9/ifA9xcVY/fQNuFwEeAHWl6CMdW1fLOi9QWq6puSfIM4K3AK4A9gdVV9cUk/8i9zzu5rKr2H3z/cA+8qp7azv8Y8N6quk/4VNXVSW4H/hbYb2inYA+a4ewPVdUp3LvXPfh6N2By24cD2wATNKG+Gnh8VR2Y5BXAYcCz27a30excPBjYi6Z3vzNwAnD7UKn/wz098JfSBDo0Q/5U1eokt7br/BpNgJ+c5KfA44GrgL9s67kaOAPYu13vZ9plRwP7JHkU9wyXX9iu849pevUrkywY/jlKfdO7AKf5T38C8NFptH0z8I9V9cEkewDLgUXdlSbdHUQPphlOvpBmuPtLwPY0YQPNMdn79C5HacPoBcBjkky+Zzvgb6vq40keCfwrcEZV/ZimZz753i8Dz6mqH7Wzrl5PD3zSGcD8oTLOSvI24EDg2W3vG+BdwAFTlH7RwOt9aI7PXw/8GvBQml79L9rtn1BVZ9McP38c8P+A7wEvqqqVSVZV1cTA57oROJZmh+BwmpGIA2h+rpfThP3kyXZ7t9P/AFzZzn/OFDVLvdG7AK+qi9uTU+6WZDfgRJoTWH4GvLKqvgUUMHkm8IOAGzdhqdoCJXkS8G6a3uiZwFzgVpph3T2Bc5KcAlwB7JVkuEe9CwND6O0Z3x8CTgW2rqpXJnkIzY7BZLu5NMemd5xGidPpgW8N/A5NjxXgCJpQXUcTlC9Mcn1VfZlmyPv6Kbb144HX3wX+d1X9sN3m/Bo6gzbJ0cBz2/U9g2anZPXwSpM8FTiGZgdhDs1Jah+n6YW/neZvwdtphs2pqvcneRnN34O9gdOr6qokfzhF3VIv9C7Ap7AMOKqqvtP+AT2J5g/AW4HPtX8Yfo2pewrSjKiqf2sDZkVV7ZfkJcBuVfWWNqx/u6oqyZuBP6+qDw++f3AIPUmADwCXV9WfJfnLJGfThO0xVXVru82VSbZner/fn62qF7brv9dZ6O1xeWiGnrejGeWaT3Ny2ieq6vw29N4APDXJb7b1QTPkvjVNz3oNTdhXksmz0B/WhvcC4FHAl5qPd/fPbb+q+kCS04BP0uxwP7iq1o74DCuAh9PsuOxRVee39V9Ccyb+odz3Etl/An6XZmfk0TQ9cqnXeh/g7WUnT6Hp2UzO3rb9fhjN3va728tfzkjy+Kq6a8SqpJkyH7hj8Fh0kiXAY4FL2kuejmD0GepzaHqK0Pz+3ga8Ock+wCPadW8L7J3kyikCblAGJybDu7VNkgz0hN+Q5Hqas+cBlgJH0YT5LUn+juYytiVV9eMkV9P0dF9FE7oraY5tX0Bz+OptVfWFJI8Gvt/+Xz0L+NOqOrP9uTwAOGdEvf+HZsh7lKfQjDhcBZzfrv9omp/nDTQjcX/WbutZI0Y53pTkTTQn20m91fsAp9nT/lFV7TVi2SuAJQBVdUl7fetc4OYRbaUZUVWrufdx6GfQ9FT/vqr+pA3zcwavy253ME8AdqI9c7uqPt4u+xBNiJ5ZVX+U5P7AkcC5SZ5TVbcN19BeyvZ+mh2Cn0xR6jeAK5NMnlg2h+aM93ltLSfS9Fz/gWZn4hc0129PHsffiWao/XU0x+hPA06sqn9JchXwxiT/1rY5qf1cZ1bVmUkmgFOAB7TbIclzaU6Iu4DmUMKbpqj7YuA3Jo/DJ3kDzfXer6M5U35yBA7ay8hGrcTLyNR3vbyRS3sM/NOTZ6En+Srwnqo6px123LOqvpHkM8A/VNXpSR5Lc2nPLsPH3iR1Z6iXL2mG9C7A2xsyLKbpSf8AOI7mZJcP0ly+sjVwdlX9dXvm+d8DO9AMS76xqj43jrolSZpJvQtwSZLkw0wkSeqlXp3ENnfu3Fq0aNG4y5AkaZNZuXLlLVU1b3h+rwJ80aJFrFjhbYwlSVuOJP8xar5D6JIk9ZABLklSDxngkiT1kAEuSVIPGeCSJPWQAS5JUg8Z4JIk9ZABLklSDxngkiT1UCd3YktyKvAc4ObJR36OaLMYeC/N08NuqaqndVGLNFstOvaCGVnP9ccfPCPrkbRpddUDPx1YMtXCJDsCJwHPrarHAS/sqA5JkmalTgK8qi4Gbl1Pk8OBc6tqddv+5i7qkCRpthrXMfBHAw9OclGSlUmOGFMdkiT10rieRrYVsDewP7A9cEmSS6vq28MNkywFlgIsXLhwkxYpSdLmalw98DXAZ6vq9qq6BbgYeMKohlW1rKomqmpi3rz7PA5VkqQt0rgC/Dzgd5JsleT+wJOAa8ZUiyRJvdPVZWRnAYuBuUnWAMfRXC5GVZ1cVdck+SxwBXAXcEpVXdVFLZIkzUadBHhVHTaNNu8C3tXF9iVJmu28E5skST1kgEuS1EMGuCRJPWSAS5LUQwa4JEk9ZIBLktRDBrgkST1kgEuS1EMGuCRJPWSAS5LUQwa4JEk9ZIBLktRDBrgkST1kgEuS1EMGuCRJPWSAS5LUQ50EeJJTk9yc5KoNtPutJHcmeUEXdUiSNFt11QM/HViyvgZJ5gDvBC7sqAZJkmatTgK8qi4Gbt1As6OBTwA3d1GDJEmz2ViOgSfZBXgecPI4ti9JUt9tNabtvhc4pqruTLLehkmWAksBFi5c2H1l0pBFx14wY+u6/viDZ2xdkrZs4wrwCeDsNrznAgclWVdVnxxuWFXLgGUAExMTtSmLlCRpczWWAK+qXSdfJzkd+PSo8JYkSaN1EuBJzgIWA3OTrAGOA7YGqCqPe0uS9CvqJMCr6rCNaPvSLmqQJGk2805skiT10LhOYpMkaYNm6iqQ2XgFiD1wSZJ6yACXJKmHDHBJknrIAJckqYcMcEmSesgAlySphwxwSZJ6yACXJKmHDHBJknrIAJckqYcMcEmSesgAlySphwxwSZJ6yACXJKmHDHBJknqokwBPcmqSm5NcNcXyFyW5ov36apIndFGHJEmzVVc98NOBJetZ/j3gaVW1J/A3wLKO6pAkaVbaqouVVtXFSRatZ/lXByYvBeZ3UYckSbPV5nAM/BXAZ6ZamGRpkhVJVqxdu3YTliVJ0uZrrAGe5Ok0AX7MVG2qallVTVTVxLx58zZdcZIkbcY6GUKfjiR7AqcAB1bVD8dVhyRJfTSWHniShcC5wIur6tvjqEGSpD7rpAee5CxgMTA3yRrgOGBrgKo6GXgLsBNwUhKAdVU10UUtkjadRcdeMCPruf74g2dkPdJs1tVZ6IdtYPmRwJFdbFuSpC3B5nAWuiRJ2kgGuCRJPTS2s9AlSeqjzeVcD3vgkiT1kAEuSVIPGeCSJPWQAS5JUg8Z4JIk9ZABLklSDxngkiT1kAEuSVIPGeCSJPWQAS5JUg8Z4JIk9ZABLklSDxngkiT1UCcBnuTUJDcnuWqK5Uny/iSrklyR5Ild1CFJ0mzVVQ/8dGDJepYfCOzefi0FPthRHZIkzUqdBHhVXQzcup4mhwAfrcalwI5Jdu6iFkmSZqNxHQPfBbhhYHpNO0+SJE3DuAI8I+bVyIbJ0iQrkqxYu3Ztx2VJktQP4wrwNcCCgen5wI2jGlbVsqqaqKqJefPmbZLiJEna3I0rwM8HjmjPRt8XuK2qvj+mWiRJ6p2tulhpkrOAxcDcJGuA44CtAarqZGA5cBCwCvgZ8LIu6pAkabbqJMCr6rANLC/g1V1sW5KkLYF3YpMkqYcMcEmSesgAlySphwxwSZJ6yACXJKmHNirAk/xBV4VIkqTp22CAJ7kkyVeTPBl4TTvvS0mWJ/mTrguUJEn3NZ0e+Drg74CHDM3/A7yWW5KksdjYY+Bbt9+rqn4K/HSG65EkSdOw3gBPciz3PCXspTQPHRl0ZAc1SZKkDdhQD/xL3PPoz9OBtUkuAR6T5NCqWtllcZIkabT13gu9qr6S3OvR3T+tqqcmWQB8PMkDq2pZpxVKkqT7mM4x8O2AhwM7A4uS7FhVNwBLgH26LE6SJI02naeRfQt4cvv65zQ974cC3wdO6qowSZI0tfUGeJKnV9WLR8x/BjDZC5ckSZvYhobQ/yrJ0Un+Nclnkjwxye7AW4GFwK6dVyhJku5jQwEeYAHwp8AOwGJgz/Z9bwbeOeUbkyVJrk2yqr0cbXj5g5J8Ksk3klyd5GW/7IeQJGlLs6Fj4I8BdgIeT3MS26Q5wHFV9YNRb0oyBzgReCawBrgsyflV9c2BZq8GvllVv5tkHnBtkjOr6o5f8rNIkrTF2FAP/DvAhcBfAzcNzF8AHJzk5VO8bx9gVVVd1wby2cAhQ20KeECa69R2AG6luW2rJEnagA0F+PbAjjSBvc3A/B8AH2Hqe6HvQnOS26Q17bxBJwCPBW4ErgT+uKrumlbVkiRt4TYU4DsBj6YZCt9hYP464InAOVO8LyPm1dD0s4HLgUcAewEnJHngfVaULE2yIsmKtWvXbqBcSZK2DBs6Br4auAS4gOY4+KQ7gN8DXjfF+9bQ9NonzafpaQ96GXB8VRWwKsn3gF8HvjbYqL3T2zKAiYmJ4Z0AzTKLjr1gxtZ1/fEHz9i6JGlzM507sV0DvAG4Dvg88O/t/A/ShPAolwG7J9k1yTbAocD5Q21WA/sDJHkYzQlz121U9ZIkbaE21AN/QXum+WmDM5McDVxNMwR+H1W1LslraE6AmwOcWlVXJzmqXX4y8DfA6UmupBlyP6aqbvlVPowkSVuKDT3MZORlYlV1efvyplHL2zbLgeVD804eeH0j8KzpFqqZ53C1JPXXdIbQJUnSZsYAlySphwxwSZJ6yACXJKmHDHBJknrIAJckqYcMcEmSesgAlySphwxwSZJ6yACXJKmHDHBJknrIAJckqYcMcEmSesgAlySphwxwSZJ6yACXJKmHDHBJknqoswBPsiTJtUlWJTl2ijaLk1ye5OokX+yqFkmSZputulhpkjnAicAzgTXAZUnOr6pvDrTZETgJWFJVq5M8tItaJEmajbrqge8DrKqq66rqDuBs4JChNocD51bVaoCqurmjWiRJmnW6CvBdgBsGpte08wY9GnhwkouSrExyREe1SJI063QyhA5kxLwase29gf2B7YFLklxaVd++14qSpcBSgIULF3ZQqiRJ/dNVgK8BFgxMzwduHNHmlqq6Hbg9ycXAE4B7BXhVLQOWAUxMTAzvBPTGomMvmJH1XH/8wTOyHklSv3UV4JcBuyfZFfhP4FCaY96DzgNOSLIVsA3wJOA9HdUjaQs1UzvP4A60Ni+dBHhVrUvyGuBCYA5walVdneSodvnJVXVNks8CVwB3AadU1VVd1CNJ0mzTVQ+cqloOLB+ad/LQ9LuAd3VVgyRpehyp6B/vxCZJUg8Z4JIk9ZABLklSDxngkiT1kAEuSVIPGeCSJPWQAS5JUg8Z4JIk9ZABLklSDxngkiT1kAEuSVIPGeCSJPWQAS5JUg8Z4JIk9ZABLklSDxngkiT1UGcBnmRJkmuTrEpy7Hra/VaSO5O8oKtaJEmabbbqYqVJ5gAnAs8E1gCXJTm/qr45ot07gQu7qEOSNkeLjr1gxtZ1/fEHz9i61C9d9cD3AVZV1XVVdQdwNnDIiHZHA58Abu6oDkmSZqWuAnwX4IaB6TXtvLsl2QV4HnByRzVIkjRrdRXgGTGvhqbfCxxTVXeud0XJ0iQrkqxYu3btTNUnSVKvdXIMnKbHvWBgej5w41CbCeDsJABzgYOSrKuqTw42qqplwDKAiYmJ4Z0ASZK2SF0F+GXA7kl2Bf4TOBQ4fLBBVe06+TrJ6cCnh8NbkiSN1kmAV9W6JK+hObt8DnBqVV2d5Kh2uce9JUn6FXTVA6eqlgPLh+aNDO6qemlXdUiSNBt5JzZJknrIAJckqYcMcEmSesgAlySphzo7iW2cZuo+w95jWJK0ubIHLklSDxngkiT1kAEuSVIPGeCSJPWQAS5JUg8Z4JIk9ZABLklSDxngkiT1kAEuSVIPGeCSJPWQAS5JUg8Z4JIk9VBnAZ5kSZJrk6xKcuyI5S9KckX79dUkT+iqFkmSZptOAjzJHOBE4EBgD+CwJHsMNfse8LSq2hP4G2BZF7VIkjQbddUD3wdYVVXXVdUdwNnAIYMNquqrVfVf7eSlwPyOapEkadbpKsB3AW4YmF7TzpvKK4DPjFqQZGmSFUlWrF27dgZLlCSpv7oK8IyYVyMbJk+nCfBjRi2vqmVVNVFVE/PmzZvBEiVJ6q+tOlrvGmDBwPR84MbhRkn2BE4BDqyqH3ZUiyRJs05XPfDLgN2T7JpkG+BQ4PzBBkkWAucCL66qb3dUhyRJs1InPfCqWpfkNcCFwBzg1Kq6OslR7fKTgbcAOwEnJQFYV1UTXdQjSdJs09UQOlW1HFg+NO/kgddHAkd2tX1JkmYz78QmSVIPGeCSJPWQAS5JUg8Z4JIk9ZABLklSDxngkiT1kAEuSVIPGeCSJPWQAS5JUg8Z4JIk9ZABLklSDxngkiT1kAEuSVIPGeCSJPWQAS5JUg8Z4JIk9VBnAZ5kSZJrk6xKcuyI5Uny/nb5FUme2FUtkiTNNp0EeJI5wInAgcAewGFJ9hhqdiCwe/u1FPhgF7VIkjQbddUD3wdYVVXXVdUdwNnAIUNtDgE+Wo1LgR2T7NxRPZIkzSpdBfguwA0D02vaeRvbRpIkjZCqmvmVJi8Enl1VR7bTLwb2qaqjB9pcALyjqr7cTn8BeGNVrRxa11KaIXaAxwDXzlCZc4FbZmhdM8WapmdzrAk2z7qsaXqsafo2x7pme02PrKp5wzO3mqGVD1sDLBiYng/c+Eu0oaqWActmusAkK6pqYqbX+6uwpunZHGuCzbMua5oea5q+zbGuLbWmrobQLwN2T7Jrkm2AQ4Hzh9qcDxzRno2+L3BbVX2/o3okSZpVOumBV9W6JK8BLgTmAKdW1dVJjmqXnwwsBw4CVgE/A17WRS2SJM1GXQ2hU1XLaUJ6cN7JA68LeHVX25+GGR+WnwHWND2bY02wedZlTdNjTdO3Oda1RdbUyUlskiSpW95KVZKkHjLAJUnqIQN8jJL8epL9k+wwNH/JGGvaJ8lvta/3SPK6JAeNq55Rknx03DUMSrJf+3N61pjreFKSB7avt0/yV0k+leSdSR40pppem2TBhltuOkm2SXJEkgPa6cOTnJDk1Um2HmNduyV5Q5L3JXl3kqPG9e+mftjij4EneVlVnTaG7b6W5iS+a4C9gD+uqvPaZV+vqk3+cJckx9Hco34r4F+AJwEXAQcAF1bV28dQ0/DlhwGeDvwrQFU9dww1fa2q9mlfv5Lm3/GfgWcBn6qq4zd1TW0tVwNPaK8CWUZzdcc/Afu3839/DDXdBtwOfBc4CzinqtZu6jqGajqT5nf8/sCPgB2Ac2l+Tqmql4yhptcCvwt8kebqnMuB/wKeB7yqqi7a1DVp82eAJ6urauEYtnsl8OSq+mmSRTR/aM+oqvcl+feq+s0x1bQXsC1wEzC/qn6cZHvg36pqzzHU9HXgm8ApQNEE+Fk09xagqr44hpru/vdJchlwUFWtTfJrwKVV9Rubuqa2lmuq6rHt63vtBCa5vKr2GkNN/w7sTbMT+IfAc4GVNP+G51bVT8ZQ0xVVtWeSrYD/BB5RVXcmCfCNMf2eXwns1dZxf2B5VS1OshA4bxx/D7T52yKG0NvHlY76uhJ42JjKmlNVPwWoquuBxcCBSf4vTUiNw7qqurOqfgZ8t6p+3Nb3c+CuMdU0QfMH/y9obvZzEfDzqvriOMK7db8kD06yE81O8FqAqrodWDemmgCuSjJ5P4VvJJkASPJo4Bdjqqmq6q6q+lxVvQJ4BHASsAS4bkw13a+9wdQDaHrhk8PU2wJjG0Lnnst6t6WpjapazRhrSvKgJMcn+VaSH7Zf17TzdhxXXVNJ8pkxbfeBSd6R5Iwkhw8tO6mr7XZ2Hfhm5mHAs2mGpAYF+OqmLweAm5LsVVWXA7Q98ecApwJj6cEBdyS5fxvge0/ObI/DjSXAq+ou4D1Jzmm//4Dx/94+iGanIkAleXhV3dSeyzCunS+AI4H3JXkzzT2YL0lyA81Dg44cU033+nlU1S9o7sJ4fjuyMw4fBr5Fc5OpvwDOSXIdsC/NkxPH4RTgsiSXAk8F3gmQZB5w65hqAvhHmsNVi6vqpramhwMvAc4BnrmpC0oy1eHF0IwgjsNpwHeATwAvT/J84PCq+h+a36tObBFD6Ek+DJw2+eCUoWUfr6rDR7yt65rm0/R4bxqx7Ler6itjqGnb9hdueP5cYOequnJT1zSiloOB366qN427lmHt0OfDqup7Y67jAcCjaHZ01lTVD8ZYy6Or6tvj2v5UkjwCoKpubHuSBwCrq+prY6zpccBjgauq6lvjqmNQkmur6jEbu6zjmu6kOVdg1M7yvlW1yXcMhw9RJfkLmnMZngv8S1fnNG0RAS5J2nhJPgd8HvjI5I5gkocBLwWeWVUHjKGmq4DnVdV3Riy7oao2+VUPSa4BHteOGE7OewnwRmCHqnpkF9vdIo6BS5J+KX8I7AR8McmtSW6luTLlIcALx1TTW5k6u46eYn7XPgU8Y3BGVX0EeD1wR1cbtQcuSdpo47oEd322tJoMcEnSRhvXJbjrs6XVNO6zeSVJm6kkV0y1iDFdgmtN9zDAJUlT2RwvwbWmlgEuSZrKp2nOor58eEGSizZ5NQ1rmly3x8AlSeofLyOTJKmHDHBpC5Ghx9YOLdstiX8PpB7xP6w0iyXZOckh7eSFSeakeRb26wfaPBz4OLBtkjcnWTH09dC23XZJfjJi+feTLB7a7olJ5ibZJclb0zwz/fmb6GNLWwRPYpNmt1cBX2/vj35H+7jKM4B3t/cDv4Pm4SJvbJ8697b2ayorq2rx4Iwkxw9N70zz/PFbkryL5r7VXwc+l+TTo+63L2njeRKbNIsluRh4MM0jKR8KrB5Y/DPglcCCdtltVXXeeta1HXAzzfPZBy0AXtQ+6pUk72znnwp8BHhKVd2V5I+ARVV1zK/6uSTZA5dmtap6KkCSjwHvraoVw22S3A78LbBf+zjLSXsA1wIfqqpT2nmXVdX+Q+8/fuD1HjQ7BZPh/bLJBzxU1QeT/HOS/UY9GVDSxjHApVkuyaOAFwCPaR/FCLAdTWh/heZ5z2dU1Y8ZeHZxki8Dz6mqH7WztgUm3z+V/WkeNvEImgdhnJZkb+Aamp76yw1vaWZ4Eps0iyWZA3yIpkd8eVXtS/Oc4l8AnwXmAu8HpnMsbXdgr+GT2ICXTDaoqg8AV7Sv/wN4EfC5drtnAT+dsQ8nbeHsgUuzVJIAH6AJ7j9L8pdJzgZ2A46pqluBW5NsD0znuc5LgD+vqg8Pbef4KdpD84jFle3rbYD/3tjPIWk0e+DS7HUYcBtwbJJ9aIa159MMhe+dZN4G3p+7XyTbAkfQPPd42BxG9OCTzKd5HvLp7ay5wK0b9xEkTcUAl2apqvp4Vf05cBLwauCfq2o/muPc/wOcm+RBw+9Lsm+Sr9EcJ/9JO/vpwDlVdfNAuycnWQm8EPju0Gomh+6Pqqqb2l76Q4D/mNEPKW3BvIxMkqQesgcuSVIPGeCSJPWQAS5JUg8Z4JIk9ZABLklSDxngkiT10P8HVMJ7NgL6tJMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1.groupby(data1['release_date'].dt.month).agg('mean')['revenue'].plot.bar()\n",
    "plt.title('每月发行电影票房条形图',fontproperties=zhfont)\n",
    "plt.xlabel('发行月份',fontproperties=zhfont)\n",
    "plt.ylabel('票房',fontproperties=zhfont)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 481,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T14:44:25.996272Z",
     "start_time": "2020-12-19T14:44:25.879544Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 108 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 112 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1.groupby(data1['release_date'].dt.month).agg('count')['id'].plot.bar()\n",
    "plt.title('每月发行电影数量条形图',fontproperties=zhfont)\n",
    "plt.xlabel('发行月份',fontproperties=zhfont)\n",
    "plt.ylabel('电影数量',fontproperties=zhfont)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 480,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T14:44:03.388131Z",
     "start_time": "2020-12-19T14:44:03.287238Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 108 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 112 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1.groupby([data1['release_date'].dt.year,data1['release_date'].dt.month]).agg('count')['revenue'].plot()\n",
    "plt.title('以月份为单位发行电影票房折线图',fontproperties=zhfont)\n",
    "plt.xlabel('发行时间',fontproperties=zhfont)\n",
    "plt.ylabel('票房',fontproperties=zhfont)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 486,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-19T14:45:51.393621Z",
     "start_time": "2020-12-19T14:45:51.294660Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 108 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py:238: RuntimeWarning: Glyph 112 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1.groupby([data1['release_date'].dt.year,data1['release_date'].dt.month]).agg('mean')['id'].plot()\n",
    "plt.title('以月份为单位发行电影数量折线图',fontproperties=zhfont)\n",
    "plt.xlabel('发行时间',fontproperties=zhfont)\n",
    "plt.ylabel('电影数量',fontproperties=zhfont)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 分析票房分布及票房 Top10 的导演"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 498,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-20T14:25:16.888021Z",
     "start_time": "2020-12-20T14:25:14.994199Z"
    }
   },
   "outputs": [],
   "source": [
    "data2['crew'] = data2['crew'].map(eval)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 502,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-20T14:32:00.409231Z",
     "start_time": "2020-12-20T14:32:00.387560Z"
    }
   },
   "outputs": [],
   "source": [
    "def gettheDirector(item):\n",
    "    for i in item:\n",
    "        if i['job'] == 'Director':\n",
    "            return i['name']\n",
    "data2['director']  = data2['crew'].map(gettheDirector)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 509,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-20T14:34:20.886285Z",
     "start_time": "2020-12-20T14:34:20.869736Z"
    }
   },
   "outputs": [],
   "source": [
    "data3 = pd.merge(data1,data2,left_on='id',right_on='movie_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 527,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-20T14:37:40.231603Z",
     "start_time": "2020-12-20T14:37:40.210858Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "director\n",
       "Steven Spielberg     9147393164\n",
       "Peter Jackson        6498642820\n",
       "James Cameron        5883569439\n",
       "Michael Bay          5832524638\n",
       "Christopher Nolan    4227483234\n",
       "Chris Columbus       3725631503\n",
       "Robert Zemeckis      3590622002\n",
       "George Lucas         3339113893\n",
       "Tim Burton           3337418241\n",
       "Ridley Scott         3189557997\n",
       "Name: revenue, dtype: int64"
      ]
     },
     "execution_count": 527,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3.groupby(data3['director']).agg('sum')['revenue'].sort_values(ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-20T14:39:08.616276Z",
     "start_time": "2020-12-20T14:39:08.614284Z"
    }
   },
   "source": [
    "##  分析评分分布及评分 Top10 的导演"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 528,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-12-20T14:37:41.252740Z",
     "start_time": "2020-12-20T14:37:41.231406Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "director\n",
       "John Cromwell           8.40\n",
       "Damien Chazelle         8.30\n",
       "Philip Saville          8.20\n",
       "Kevin Sullivan          8.20\n",
       "Charlie Chaplin         8.10\n",
       "Tony Kaye               8.10\n",
       "Theodore Witcher        8.10\n",
       "Lenny Abrahamson        8.10\n",
       "Jorge Ramírez Suárez    8.10\n",
       "Hayao Miyazaki          8.05\n",
       "Name: vote_average, dtype: float64"
      ]
     },
     "execution_count": 528,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3.groupby(data3['director']).agg('mean')['vote_average'].sort_values(ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "title_cell": "Table of Contents",
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     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
